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Recent Advances in Electrosynthesized Molecularly Imprinted Polymer Sensing Platforms for Bioanalyte Detection

Lookup NU author(s): Dr Alex Hudson, Professor Marloes PeetersORCiD



This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


The accurate detection of biological materials has remained at the forefront of scientific research for decades. This includes the detection of molecules, proteins, and bacteria. Biomimetic sensors look to replicate the sensitive and selective mechanisms that are found in biological systems and incorporate these properties into functional sensing platforms. Molecularly imprinted polymers (MIPs) are synthetic receptors that can form high affinity binding sites complementary to the specific analyte of interest. They utilise the shape, size, and functionality to produce sensitive and selective recognition of target analytes. One route of synthesizing MIPs is through electropolymerization, utilising predominantly constant potential methods or cyclic voltammetry. This methodology allows for the formation of a polymer directly onto the surface of a transducer. The thickness, morphology, and topography of the films can be manipulated specifically for each template. Recently, numerous reviews have been published in the production and sensing applications of MIPs; however, there are few reports on the use of electrosynthesized MIPs (eMIPs). The number of publications and citations utilising eMIPs is increasing each year, with a review produced on the topic in 2012. This review will primarily focus on advancements from 2012 in the use of eMIPs in sensing platforms for the detection of biologically relevant materials, including the development of increased polymer layer dimensions for whole bacteria detection and the use of mixed monomer compositions to increase selectivity toward analytes.

Publication metadata

Author(s): Crapnell RD, Hudson A, Foster CW, Eersels K, Grinsven BV, Cleij TJ, Banks CE, Peeters M

Publication type: Review

Publication status: Published

Journal: Sensors

Year: 2019

Volume: 19

Issue: 5

Online publication date: 09/03/2019

Acceptance date: 05/03/2019

ISSN (print): 1424-8239

ISSN (electronic): 1424-8220

Publisher: NLM (Medline)


DOI: 10.3390/s19051204

PubMed id: 30857285